Azure Synapse Data Quality Framework
An enterprise needed automated data quality testing for tables in Azure Synapse Analytics, with configurable test conditions and comprehensive validation.
An enterprise needed automated data quality testing for tables in Azure Synapse Analytics, with configurable test conditions and comprehensive validation.
Developed a Python framework using Great Expectations for configurable schema validation, null checks, duplicate detection, data type validation, and row count anomaly detection.
Project Outcome
Delivered a configurable data quality testing framework that automates validation of Azure Synapse tables, catching data issues before they impact downstream analytics.
Built With
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